Abstract: A process and a signal processing unit determine a pneumatic parameter (Pmus) for the spontaneous breathing of a patient. The patient is ventilated mechanically by a ventilator. A lung-mechanical model (20) and a gradient model (22) are preset. The lung-mechanical model (20) describes a relationship between the pneumatic parameter (Pmus) as well as a volume flow signal (Vol?), a volume signal (Vol) and/or a respiratory signal (Sig), which can be measured. The gradient model (22) describes a value for the pneumatic parameter (Pmus) as a function of N chronologically earlier values of the pneumatic parameter (Pmus) or of a variable correlating with the pneumatic parameter (Pmus). N values for the correlating variable are determined at first. At least one additional value is subsequently determined for the pneumatic parameter (Pmus). N chronologically earlier values of the correlating variable, current signal values, the lung-mechanical model (20) and the gradient model (22) are used for this purpose.

Abstract: Process/unit for determining intrinsic breathing activity of a ventilated patient. The process/unit carries out a first ventilating operation, in which a ventilator parameter at a first setting. The process/unit generates a first set of signal values as a function of measured values, which were measured at the first setting. A first breathing activity value is derived using a predefined lung mechanical model and the first set of signal values. The process/unit calculates a value for the reliability that the first breathing activity value agrees with the corresponding actual breathing activity value. Depending on this reliability assessment, the process/unit checks whether a predefined triggering criterion is met. If this criterion is met, then the process/unit triggers a change step, in which the ventilator parameter is set at a second setting. It carries out an additional ventilating operation, in which the ventilator parameter is set at the second setting.

Abstract: A process and signal processing unit (5) determine a cardiogenic signal (Sigkar,est) or a respiratory signal (Sigres,est) from a sum signal (SigSum), resulting from a superimposition of cardiac activity and breathing of a patient (P). A signal estimating unit (6), which yields a shape parameter as a value of a transmission channel parameter (LF), is generated during a training phase. A sample with a sample element per heartbeat is used. During a use phase, the transmission channel parameter is measured for each heartbeat, a shape parameter value is calculated by the application of the signal estimating unit and is used to calculate an estimated cardiogenic signal segment (SigHz,kar.LF) or an estimated respiratory signal segment. The cardiogenic signal segments are combined into the cardiogenic signal or the respiratory signal segments are combined into the respiratory signal or the cardiogenic signal segments are subtracted from the sum signal.

Abstract: A process and a signal processing unit determine a pneumatic parameter (Pmus) for the spontaneous breathing of a patient. The patient is ventilated mechanically by a ventilator. A lung-mechanical model (20) and a gradient model (22) are preset. The lung-mechanical model (20) describes a relationship between the pneumatic parameter (Pmus) as well as a volume flow signal (Vol?), a volume signal (Vol) and/or a respiratory signal (Sig), which can be measured. The gradient model (22) describes a value for the pneumatic parameter (Pmus) as a function of N chronologically earlier values of the pneumatic parameter (Pmus) or of a variable correlating with the pneumatic parameter (Pmus). N values for the correlating variable are determined at first. At least one additional value is subsequently determined for the pneumatic parameter (Pmus). N chronologically earlier values of the correlating variable, current signal values, the lung-mechanical model (20) and the gradient model (22) are used for this purpose.